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Ajouter au panierpaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Ajouter au panierPaperback or Softback. Etat : New. Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and Da. Book.
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Ajouter au panierTaschenbuch. Etat : Neu. Parallel and High Performance Programming with Python | Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and Dask. | Fabio Nelli | Taschenbuch | Englisch | 2023 | Orange Education Pvt Ltd | EAN 9789388590730 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Langue: anglais
Edité par Orange Education Pvt Ltd, 2023
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book will teach you everything about the powerful techniques and applications of parallel computing, from the basics of parallel programming to the cutting-edge innovations shaping the future of computing.The book starts with an introduction to parallel programming and the different types of parallelism, including parallel programming with threads and processes. The book then delves into asynchronous programming, distributed Python, and GPU programming with Python, providing you with the tools you need to optimize your programs for distributed and high-performance computing.The book also covers a wide range of applications for parallel computing, including data science, artificial intelligence, and other complex scientific simulations. You will learn about the challenges and opportunities presented by parallel computing for these applications and how to overcome them.By the end of the book, you will have insights into the future of parallel computing, the latest research and developments in the field, and explore the exciting possibilities that lie ahead.TABLE OF CONTENTS1. Introduction to Parallel Programming2. Building Multithreaded Programs3. Working with Multiprocessing and mpi4py Library4. Asynchronous Programming with AsyncIO5. Realizing Parallelism with Distributed Systems6. Maximizing Performance with GPU Programming using CUDA7. Embracing the Parallel Computing Revolution8. Scaling Your Data Science Applications with Dask9. Exploring the Potential of AI with Parallel Computing10. Hands-on Applications of Parallel Computing.
Langue: anglais
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ISBN 10 : 9349887142 ISBN 13 : 9789349887145
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Ajouter au panierTaschenbuch. Etat : Neu. Parallel and High Performance Programming with Python (2nd Edition) | Fabio Nelli | Taschenbuch | Englisch | 2026 | Orange Education Pvt Ltd | EAN 9789349887145 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Langue: anglais
Edité par Orange Education Pvt Ltd, 2026
ISBN 10 : 9349887142 ISBN 13 : 9789349887145
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Unleash the Full Power of Python to Run Faster Code, Scale Smarter, and Compute Without Limits.Book DescriptionPython is the backbone for data science, AI, and cloud computing, and the demand for speed and scalability has never been higher. That's why mastering parallel and high-performance programming is essential to transform Python into a tool that meets modern performance demands.Building on the success of the first edition, Parallel and High Performance Programming with Python (2nd Edition) expands and modernizes the original work, adding new frameworks, deployment patterns, and acceleration techniques for next-generation computing.What you will learn¿ Design and optimize high-performance Python applications using parallelism, concurrency, and async patterns.¿ Profile, diagnose, and eliminate CPU, I/O, and memory bottlenecks for real-world workloads.Table of Contents1. Introduction to Parallel Programming2. Parallel Programming with Threads3. Parallel Programming with Processes4. Asynchronous Programming5. Distributed Python6. GPU Programming with Python7. Parallel Computing Applications8. Parallel Computing for Data Science9. Parallel Computing for Artificial Intelligence10. Future of Parallel Programming11. Modern Frameworks for Parallelism and Distribution: Ray and Modin12. PySpark13. Joblib14. Parallelization on Cloud and Serverless Systems15. Parallel Programming with FPGAs16. Introduction to Quantum Computing and Quantum ArchitecturesIndex.